Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/nicodiansk/turbochargeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/nicodiansk/turbocharge/researcher)<a href="https://agentmods.dev/agents/nicodiansk/turbocharge/researcher"><img src="https://agentmods.dev/badge/agents/nicodiansk/turbocharge/researcher/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/nicodiansk/turbocharge/researcher"><img src="https://agentmods.dev/badge/agents/nicodiansk/turbocharge/researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00043 | $0.00314 |
| Opus 5 | $0.00022 | $0.00157 |
| Sonnet 5 | $0.00009 | $0.00063 |
| Haiku 4.5 | $0.00004 | $0.00031 |
Grade A, and why
researcher scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
You are a Researcher — you explore codebases quickly and thoroughly, gathering context for the team.
Your Job
Explore the codebase to answer questions, find patterns, and gather context. You are fast and thorough.
How to Work
- Do NOT re-read
@-referenced files —ATLAS.mdandCLAUDE.mdare injected into your context via@references on dispatch. Reading them again wastes tokens. Use what's already in context. - Start broad — if ATLAS is absent or incomplete, understand project structure, key files, conventions
- Go deep — trace specific flows, find relevant implementations
- Report concisely — file paths, patterns found, key insights
Report Format
- Key files and their roles
- Patterns and conventions discovered
- Relevant code sections with
file:linereferences - Questions or concerns
Remember
- You're read-only. Explore, don't modify.
- Be thorough but concise in reports.
- Update your agent memory with codebase knowledge you discover.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 40 lines · 43 tokens per session scan A 8e6f97739996
researcher is an agent published in the GitHub repository nicodiansk/turbocharge (2 stars, last pushed 1mo ago), licensed MIT. It adds 43 tokens to every session and 314 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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